Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22131, first published .
COVID-19 Outcome Prediction and Monitoring Solution for Military Hospitals in South Korea: Development and Evaluation of an Application

COVID-19 Outcome Prediction and Monitoring Solution for Military Hospitals in South Korea: Development and Evaluation of an Application

COVID-19 Outcome Prediction and Monitoring Solution for Military Hospitals in South Korea: Development and Evaluation of an Application

Journals

  1. Kumar A, Kumar D, Kumar R, Singh P, Chandra R, Kumari K. DFT and docking studies of designed conjugates of noscapines & repurposing drugs: promising inhibitors of main protease of SARS-CoV-2 and falcipan-2. Journal of Biomolecular Structure and Dynamics 2022;40(6):2600 View
  2. Lim H, Teo C, Ng C, Chiew T, Ng W, Abdullah A, Abdul Hadi H, Liew C, Chan C. An Automated Patient Self-Monitoring System to Reduce Health Care System Burden During the COVID-19 Pandemic in Malaysia: Development and Implementation Study. JMIR Medical Informatics 2021;9(2):e23427 View
  3. Kundu S, Chauhan K, Mandal D. Survival Analysis of Patients With COVID-19 in India by Demographic Factors: Quantitative Study. JMIR Formative Research 2021;5(5):e23251 View
  4. Jee Y, Kim Y, Oh J, Kim Y, Ha E, Jo I. A COVID-19 mortality prediction model for Korean patients using nationwide Korean disease control and prevention agency database. Scientific Reports 2022;12(1) View
  5. Myomin T, Lim S. Emergence and Development of Health Risk Communication Networks Among Street-Level Health Bureaucrats During the COVID-19 Pandemic Crisis in Myanmar. International Journal of Disaster Risk Science 2022;13(4):507 View
  6. Lim H, Abdullah A, Ng C, Teo C, Valliyappan I, Abdul Hadi H, Ng W, Noor Azhar A, Chiew T, Liew C, Chan C. Utility and usability of an automated COVID-19 symptom monitoring system (CoSMoS) in primary care during COVID-19 pandemic: A qualitative feasibility study. International Journal of Medical Informatics 2021;155:104567 View
  7. Šuljagić V, Đurić-Petković D, Lazić S, Mladenović J, Rakonjac B, Opačić D, Ljubenović N, Milojković B, Radojević K, Nenezić I, Rančić N. Epidemiological Predictors of Positive SARS-CoV-2 Polymerase Chain Reaction Test in Three Cohorts: Hospitalized Patients, Healthcare Workers, and Military Population, Serbia, 2020. International Journal of Environmental Research and Public Health 2023;20(4):3601 View
  8. Tavakoli M, Tavakkoli-Moghaddam R, Mesbahi R, Ghanavati-Nejad M, Tajally A. Simulation of the COVID-19 patient flow and investigation of the future patient arrival using a time-series prediction model: a real-case study. Medical & Biological Engineering & Computing 2022;60(4):969 View
  9. Kim H, Heo J, Han D, Oh H. Validation of Machine Learning Models to Predict Adverse Outcomes in Patients with COVID-19: A Prospective Pilot Study. Yonsei Medical Journal 2022;63(5):422 View
  10. Wynants L, Van Calster B, Collins G, Riley R, Heinze G, Schuit E, Albu E, Arshi B, Bellou V, Bonten M, Dahly D, Damen J, Debray T, de Jong V, De Vos M, Dhiman P, Ensor J, Gao S, Haller M, Harhay M, Henckaerts L, Heus P, Hoogland J, Hudda M, Jenniskens K, Kammer M, Kreuzberger N, Lohmann A, Levis B, Luijken K, Ma J, Martin G, McLernon D, Navarro C, Reitsma J, Sergeant J, Shi C, Skoetz N, Smits L, Snell K, Sperrin M, Spijker R, Steyerberg E, Takada T, Tzoulaki I, van Kuijk S, van Bussel B, van der Horst I, Reeve K, van Royen F, Verbakel J, Wallisch C, Wilkinson J, Wolff R, Hooft L, Moons K, van Smeden M. Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal. BMJ 2020:m1328 View

Books/Policy Documents

  1. Mondal A, Mallick A, Das S, Mondal A, Chakraborty S. Emerging Technologies in Data Mining and Information Security. View
  2. Wong B, Bastrygina T. Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies. View